Automated Detection of Hydrothermal Emission Signatures From Multibeam Echo Sounder Images Using Deep Learning

Seafloor massive sulfide deposits have attracted attention as a mineral resource, as they contain a wide variety of base, precious, and other valuable critical metals. Previous studies have shown that signatures of hydrothermal activity can be detected by a multibeam echo sounder (MBES), which would...

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Bibliografiska uppgifter

Huvudupphov:	Kazuhide Mimura, Kentaro Nakamura, Kazuhiro Takao, Kazutaka Yasukawa, Yasuhiro Kato
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2023-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ämnen:	Deep learning massive sulfide deposits multibeam echo sounder (MBES) object detection seafloor exploration seafloor mineral resource
Länkar:	https://ieeexplore.ieee.org/document/10052641/
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